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AI Readiness Assessment

"Know exactly what AI can do for you before you invest in a model"

A structured audit of your data, systems, processes, and people to surface where AI creates real, measurable value and where your efforts are best focused.

What we audit

Five readiness dimensions

01

Data maturity

Quality, lineage, governance, and accessibility scored against AI workload requirements.

02

System architecture

Where AI can integrate (and where it cannot) given current platforms and data flows.

03

Process readiness

Business processes assessed for AI fit, automation potential, and change-management cost.

04

Skills & capability

Team gaps mapped: ML, MLOps, prompt engineering, data engineering.

05

Risk & compliance

Regulatory and ethical constraints scored per use case before scope is set.

How we run it

A four-week assessment sprint

01 · W1

Scope & access

Interview leadership, gather artefacts, confirm scope, assign internal liaisons.

02 · W2

Data & systems audit

Hands-on review of data sources, quality, system architecture, integration surface.

03 · W3

Use-case mapping

Workshop with business stakeholders to surface and score candidate AI opportunities.

04 · W4

Scored roadmap

Deliverable: scored opportunity map, gap analysis, and prioritised investment plan.

Ready to assess?

Book an AI Readiness Assessment

Tell us where you think AI could help. We will return with a four-week assessment scope and a clearly scoped proposal.